File indexing completed on 2025-01-05 05:18:57

 // SPDX-FileCopyrightText: 2023 Loren Burkholder <computersemiexpert@outlook.com>
 // SPDX-FileCopyrightText: 2023 Klarälvdalens Datakonsult AB, a KDAB Group company <info@kdab.com>
 //
 // SPDX-License-Identifier: GPL-2.0-only OR GPL-3.0-only OR LicenseRef-KDE-Accepted-GPL
 
 #pragma once
 #include "kllmcore_export.h"
 #include <QDebug>
 #include <QJsonArray>
 
 namespace KLLMCore
 {
 /**
  * @brief KLLMContext provides a representation of a conversation context.
  *
  * Most, if not all, LLMs have the concept of "context". This allows them to refer to previous messages in a conversation to
  * enhance their replies. In most scenarios, this is the preferred behavior.
  *
  * To use KLLMContext, you simply need to get the context from each KLLMReply and set it on the next KLLMReqeust that you
  * send. KLLMInterface will use this in KLLMInterface::getCompletion().
  */
 struct KLLMCORE_EXPORT KLLMContext {
     /**
      * @brief Converts the context to a JSON representation.
      *
      * Different LLM backends represent context in different ways; for example, while Ollama represents context as an array
      * of integer identifiers, OpenAI relies on a JSON array of all the messages in the conversation so far. Therefore, this
      * function exists to take any representation set on it for any backend and convert it to a JSON value suitable for
      * sending in a request.
      *
      * @return A JSON representation of the context.
      */
     [[nodiscard]] QJsonValue toJson() const;
 
     /**
      * @brief Sets an Ollama context as the current context.
      * @param context The context from Ollama.
      */
     void setOllamaContext(const QJsonArray &context);
 
 private:
     enum class Backend {
         Ollama,
     } m_backend;
     QVariant m_data;
 };
 }
 KLLMCORE_EXPORT QDebug operator<<(QDebug d, const KLLMCore::KLLMContext &t);